The quality of wireless links suffers from time-varying channel degradation
s such as interference, flat-fading, and frequency-selective fading, Curren
t radios are limited in their ability to adapt to these channel variations
because they are designed with fixed values for most system parameters such
as frame length, error control, and processing gain. The values for these
parameters are usually a compromise between the requirements for worst-case
channel conditions and the need for low implementation cost. Therefore, in
benign channel conditions these commercial radios can consume more battery
energy than needed to maintain a desired link quality, while in a severely
degraded channel they can consume energy without providing any quality-of-
service (QoS), While techniques for adapting radio parameters to channel va
riations have been studied to improve link performance, in this paper they
are applied to minimize battery energy. Specifically, an adaptive radio is
being designed that adapts the frame length, error control, processing gain
, and equalization to different channel conditions, while minimizing batter
y energy consumption. Experimental measurements and simulation results are
presented in this paper to illustrate the adaptive radio's energy savings.